The Faculty of Mathematics and Computer Science at the Georg-August-University of Göttingen invites applications for the positions of four professorships at the Institute of Computer Science in the context of the establishment of a Campus Institute Data Science.

The newly established professors will participate in the development of the Campus Institute Data Science (CIDAS). CIDAS will be a joint institution of the members of the Göttingen Campus including the University, the University Medical Center, five Max-Planck-Institutes, the Leibniz Institute for Primate Research, the Academy of Sciences and the German Aerospace Center Göttingen. The members of CIDAS will pursue research at the convergence point of computer science, statistics, mathematics and application areas and will combine method development in the field of Data Science with cutting edge research in Göttingen’s research foci.
The future position holder shall have worked already successfully in research networks. We especially expect candidates to be willing to cooperate with colleagues in the Faculty of Mathematics and Computer Science as well as from other Faculties and Campus institutions. The candidates’ research interests should ideally align with one or several of Göttingen University’s research foci (https://www.uni-goettingen.de/en/505395.html).

The appointed professors will conduct their teaching in the study programmes of the Faculty, in particular in the Bachelor’s programmes ”Applied Data Science” and ”Mathematical Data Science” and in the Bachelor and Master programme ”Applied Computer Science”.
Conditions for appointment can be found in Section 25 of the Higher Education Law of Lower Saxony. As a Public Law Foundation, the University of Göttingen has the right to appoint professors. Further details can be obtained upon request.

Two positions of full professor (W3) for Data Science
The future position holder shall have expertise in computer science, especially related to the field of Data Science method development in one or several of the following areas: Computer Vision and Imaging, Data Fusion / Data Merging, Data Management, Big Data, Graph and Network Optimization and Modeling, Natural Language Processing. Candidates shall have a track record of high level research in these fields, have high potential for groundbreaking research in internationally visible research projects along with profound experience in mentoring and advising university students. Göttingen University is committed to research oriented teaching.https://s-lotus.gwdg.de/uni/umin/w3_data_science_2018.nsf/application

Full professor (W3) for Artificial Intelligence / Machine Learning
The future position holder shall have expertise in artificial intelligence, especially with a focus on machine learning or on foundations of machine learning. The University of Göttingen aims to establish machine learning as research area by recruitments in its fields of application as well as in theoretical foundations. Candidates shall have a track record of high level research in artificial intelligence, in particular machine learning, have high potential for groundbreaking research in internationally visible research projects along with profound experience in mentoring and advising university students. Göttingen University is committed to research oriented teaching.https://s-lotus.gwdg.de/uni/umin/w3_machine_learning_2018.nsf/application

Associate Professor (Tenure Track) (W2 t.t. W3) for Artificial Intelligence / Machine Learning
This professorship is funded by the German Federal and State governments through the programme “Bund-Länder-Programm zur Förderung des wissenschaftlichen Nachwuchses (Nachwuchspakt)”. The initial appointment will be limited to five years. The transition to the permanent position of Full Professor (W3) takes effect following a successful evaluation.
Preferably, the candidate has expertise in artificial intelligence, especially with a focus on machine learning or on foundations of machine learning. The University of Göttingen aims to establish machine learning as research area by recruitments in its fields of application as well as in theoretical foundations. The future position holder shall have a track record of high level research in artificial intelligence, in particular machine learning, have high potential for groundbreaking research in internationally visible research projects along with profound experience in mentoring and advising university students. Göttingen University is committed to research oriented teaching.https://s-lotus.gwdg.de/uni/umin/w2_machine_learning_2018.nsf/application

Applications of international scientists are highly encouraged. The University is an equal opportunity and family friendly employer. We specifically encourage women to apply. Disabled persons with appropriate qualifications and aptitude for the position will be given special consideration.
For further information please contact Prof. Dr. Dieter Hogrefe, Institute of Computer Science, hogrefe [at] informatik.uni-goettingen.de.
Applications including CV, publications list and details of teaching and research including funded research projects should be submitted by July 6th, 2018, online via the application portals stated above.